AI Tool Comparison
Comparing as AI Computer Vision & Speech APIsElevenLabs vs Groq
Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.
ElevenLabs
VS
Groq
Verdict by Category
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Detailed Comparison
Feature
ElevenLabs
Groq
Pricing
FreemiumElevenLabs uses a credit-based subscription model across seven tiers. Free: $0/month with 10k credits, 3 Studio projects, and access to core tools but no commercial license. Starter: $6/month (30k credits) adds a commercial license, Instant Voice Cloning, 20 Studio projects, and Dubbing Studio. Creator: $22 first month (50% off), then $11/month regularly (121k credits) adds Professional Voice Cloning. Pro: $99/month (600k credits) adds 44.1kHz PCM API audio output and 192kbps quality. Scale: $299/month (1.8M credits, 3 seats) adds team collaboration and 3 Professional Voice Clones. Business: $990/month (6M credits, 10 seats) adds low-latency TTS as low as 5 cents/minute and 10 Professional Voice Clones. Enterprise: custom pricing with dedicated SLAs, HIPAA BAAs, custom SSO, elevated concurrency, and fully managed dubbing. ElevenAgents (conversational voice agents) is billed separately starting around $0.08/minute on annual Business plans, with custom enterprise pricing. A free Startup Grants program offers 33M characters (about 680 hours) of usage for 12 months to new startups and products.
FreemiumGroqCloud uses pay-as-you-go pricing per million tokens with no seat license or minimum spend. Rates range from roughly $0.05 input / $0.08 output for Llama 3.1 8B Instant up to about $1.00 input / $3.00 output for Kimi K2, with the flagship Llama 3.3 70B Versatile priced at $0.59 input / $0.79 output and GPT-OSS 120B at $0.15 input / $0.60 output. Whisper v3 Turbo transcription is priced at $0.04 per hour of audio. A free tier is available to all registered users with no credit card required, offering access to every model at 30 requests per minute. The Batch API and prompt caching each cut rates by roughly 50%, and can be combined for an effective rate of about 25% of on-demand pricing on eligible workloads. Enterprise pricing, including GroqAssured governance features and dedicated GroqMetal infrastructure, is available by contacting Groq's sales team.
Categories
AI Audio & Music ToolsAI Developer APIs & PlatformsAI Video ToolsAI Gaming & Entertainment
AI Developer APIs & PlatformsAI Coding Assistants
Summary
Lifelike AI voices, agents, and audio for creators and developers
The fastest inference cloud for open-source LLMs, powered by custom LPU chips
ElevenLabs Pros & Cons
Pros
- Widely regarded as the most natural-sounding, emotionally expressive AI voice generator on the market
- Massive library of 10,000+ voices across 70+ languages and accents
- Fast, accurate voice cloning from short audio samples, including professional-grade clones
- Full platform depth spanning TTS, STT, dubbing, music, sound effects, and conversational voice agents
- Well-documented API and SDKs (JavaScript, Python, Swift) make developer integration straightforward
- Enterprise-grade security with SOC 2, HIPAA, GDPR support and EU data residency options
Cons
- Credit-based pricing is confusing since character-to-credit ratios vary by model, making costs hard to predict
- Free and Starter tiers are limited, and commercial usage rights require at least the paid Starter plan
- Regenerations to fix mispronunciations or errors can burn through credits quickly
- Voice quality drops noticeably for tonal and less-supported languages compared to English or major European languages
- Some newer competitors (e.g. Fish Audio, Chatterbox) now beat ElevenLabs on price or latency in specific benchmarks
Groq Pros & Cons
Pros
- Consistently ranks among the fastest LLM inference providers thanks to purpose-built LPU hardware
- OpenAI-compatible API makes migration from existing integrations fast
- Generous free tier with no credit card required and access to every hosted model
- Batch API and prompt caching can stack to roughly 25% of on-demand pricing
- Proven at scale with 3M+ developers and demanding real-time customers like McLaren F1
Cons
- Only hosts open-source models (Llama, Mixtral, Gemma, Qwen, DeepSeek distills), so there's no access to proprietary models like GPT or Claude through the platform
- The December 2025 NVIDIA licensing deal and departure of founder Jonathan Ross as CEO introduce some uncertainty about the platform's long-term technical direction
- No self-serve fine-tuning; customization requires contacting Groq's sales team or submitting an Enterprise request
- Free tier is limited by requests-per-minute (30 RPM) rather than a generous token allowance, which can bottleneck bursty workloads
- Full pricing isn't published for every capability, and Enterprise/GroqAssured governance features require a custom conversation